187 related articles for article (PubMed ID: 8575160)
1. Patterns of attractor dimensions of sleep EEG.
Pradhan N; Sadasivan PK; Chatterji S; Dutt DN
Comput Biol Med; 1995 Sep; 25(5):455-62. PubMed ID: 8575160
[TBL] [Abstract][Full Text] [Related]
2. Non-linear analysis of the sleep EEG.
Kobayashi T; Misaki K; Nakagawa H; Madokoro S; Ihara H; Tsuda K; Umezawa Y; Murayama J; Isaki K
Psychiatry Clin Neurosci; 1999 Apr; 53(2):159-61. PubMed ID: 10459677
[TBL] [Abstract][Full Text] [Related]
3. Nonlinear dynamical analysis of the neonatal EEG time series: the relationship between sleep state and complexity.
Janjarasjitt S; Scher MS; Loparo KA
Clin Neurophysiol; 2008 Aug; 119(8):1812-1823. PubMed ID: 18486543
[TBL] [Abstract][Full Text] [Related]
4. Human sleep EEG analysis using the correlation dimension.
Kobayashi T; Madokoro S; Wada Y; Misaki K; Nakagawa H
Clin Electroencephalogr; 2001 Jul; 32(3):112-8. PubMed ID: 11512374
[TBL] [Abstract][Full Text] [Related]
5. The nature of dominant Lyapunov exponent and attractor dimension curves of EEG in sleep.
Pradhan N; Sadasivan PK
Comput Biol Med; 1996 Sep; 26(5):419-28. PubMed ID: 8889339
[TBL] [Abstract][Full Text] [Related]
6. Nonlinear Dynamics Measures for Automated EEG-Based Sleep Stage Detection.
Acharya UR; Bhat S; Faust O; Adeli H; Chua EC; Lim WJ; Koh JE
Eur Neurol; 2015; 74(5-6):268-87. PubMed ID: 26650683
[TBL] [Abstract][Full Text] [Related]
7. All-night sleep EEG and artificial stochastic control signals have similar correlation dimensions.
Achermann P; Hartmann R; Gunzinger A; Guggenbühl W; Borbély AA
Electroencephalogr Clin Neurophysiol; 1994 May; 90(5):384-7. PubMed ID: 7514985
[TBL] [Abstract][Full Text] [Related]
8. [Sleep EEG as a nonlinear dynamic process: a comparison of global correlation dimension of human EEG and measures of linear interdependence between channels].
Sulimov AV; Marageĭ RA
Zh Vyssh Nerv Deiat Im I P Pavlova; 2003; 53(2):151-5. PubMed ID: 12754840
[TBL] [Abstract][Full Text] [Related]
9. Non-linear EEG measures during sleep: effects of the different sleep stages and cyclic alternating pattern.
Ferri R; Parrino L; Smerieri A; Terzano MG; Elia M; Musumeci SA; Pettinato S; Stam CJ
Int J Psychophysiol; 2002 Mar; 43(3):273-86. PubMed ID: 11850092
[TBL] [Abstract][Full Text] [Related]
10. On the dimensionality of sleep-EEG data. Using chaos mathematics and a systematic variation of the parameters of the Corex program to determine the correlation exponents of sleep EEG segments.
Niestroj E; Spieweg I; Herrmann WM
Neuropsychobiology; 1995; 31(3):166-72. PubMed ID: 7609865
[TBL] [Abstract][Full Text] [Related]
11. Correlation dimension of the human sleep electroencephalogram.
Kobayashi T; Misaki K; Nakagawa H; Madokoro S; Ota T; Ihara H; Tsuda K; Umezawa Y; Murayama J; Isaki K
Psychiatry Clin Neurosci; 2000 Feb; 54(1):11-6. PubMed ID: 15558873
[TBL] [Abstract][Full Text] [Related]
12. Analysis of sleep-stage characteristics in full-term newborns by means of spectral and fractal parameters.
Carrozzi M; Accardo A; Bouquet F
Sleep; 2004 Nov; 27(7):1384-93. PubMed ID: 15586792
[TBL] [Abstract][Full Text] [Related]
13. Unsupervised Estimation of Mouse Sleep Scores and Dynamics Using a Graphical Model of Electrophysiological Measurements.
Yaghouby F; O'Hara BF; Sunderam S
Int J Neural Syst; 2016 Jun; 26(4):1650017. PubMed ID: 27121993
[TBL] [Abstract][Full Text] [Related]
14. Automatic sleep stage classification using two-channel electro-oculography.
Virkkala J; Hasan J; Värri A; Himanen SL; Müller K
J Neurosci Methods; 2007 Oct; 166(1):109-15. PubMed ID: 17681382
[TBL] [Abstract][Full Text] [Related]
15. Analysis of the human sleep electroencephalogram by the correlation dimension.
Kobayashi T; Madokoro S; Ota T; Ihara H; Umezawa Y; Murayama J; Kosaka H; Misaki K; Nakagawa H
Psychiatry Clin Neurosci; 2000 Jun; 54(3):278-9. PubMed ID: 11186076
[TBL] [Abstract][Full Text] [Related]
16. Non-linear EEG analysis in children with epilepsy and electrical status epilepticus during slow-wave sleep (ESES).
Ferri R; Elia M; Musumeci SA; Stam CJ
Clin Neurophysiol; 2001 Dec; 112(12):2274-80. PubMed ID: 11738199
[TBL] [Abstract][Full Text] [Related]
17. A rule-based automatic sleep staging method.
Liang SF; Kuo CE; Hu YH; Cheng YS
J Neurosci Methods; 2012 Mar; 205(1):169-76. PubMed ID: 22245090
[TBL] [Abstract][Full Text] [Related]
18. A nonlinear approach to brain function: deterministic chaos and sleep EEG.
Röschke J; Aldenhoff JB
Sleep; 1992 Apr; 15(2):95-101. PubMed ID: 1579794
[TBL] [Abstract][Full Text] [Related]
19. Sleep stage classification based on bioradiolocation signals.
Tataraidze A; Anishchenko L; Korostovtseva L; Kooij BJ; Bochkarev M; Sviryaev Y
Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():362-5. PubMed ID: 26736274
[TBL] [Abstract][Full Text] [Related]
20. [Application of complexity sequence in sleep staging based on sleep EEG data].
Long F; Zhang D; Fan L; Wu X; Feng H
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2003 Mar; 20(1):60-3. PubMed ID: 12744164
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
